9th place solution in "Santa 2020 - The Candy Cane Contest"
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Updated
Feb 23, 2021 - Python
9th place solution in "Santa 2020 - The Candy Cane Contest"
This repository will work around solving the problem of food demand forecasting using machine learning.
Amazon SageMaker Examples
This repository contains code and resources for an end-to-end regression project on retail sales prediction. The goal of this project is to develop a regression model that can accurately predict retail sales based on various features.
Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)
In this section, we will use machine learning algorithms to perform time series analysis.
Automobile dataset for used Car Price Analysis to predict the price of a vehicle with their features and performance factor to provide the exact value of a vehicle for buyer seller satisfaction using exploratory data analysis and machine learning models.
Crypto & Stock* price prediction with regression models.
Notes, tutorials, code snippets and templates focused on LightGBM for Machine Learning
Projeto de previsões de pontos de chegada em corridas de táxi na cidade do Porto, Portugal.
This machine learning model was developed for "House Prices - Advanced Regression Techniques" competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.
This code demonstrates the use of machine learning to model the multimodal nature of a single cell. Using machine learning to predict RNA from DNA, that is, using chromatin accessibility data to predict the RNA gene expression and to predict surface protein from RNA, that is, using RNA sequence data to predict surface protein levels in a cell
A Machine Learning Case Study based on helping the company target customers by predicting the customer loyalty score based on the transactions data.
Examples using LightGBM for several ML tasks
Using LightGBM and Other Models for Car Prices' Prediction – Study Project for Yandex Practicum
creation of an interface and algorithm for forecasting demand for 14 days for goods of own production
A final project of Data Science Bootcamp Batch 20 in Rakamin Academy.
☀️ 데이터 파이프라인 프로젝트 기상으로 예측하는 서울시 코로나 확진자 수 앱 😷
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